論文

査読有り
2015年11月

Wide-Supply-Range All-Digital Leakage Variation Sensor for On-Chip Process and Temperature Monitoring

IEEE JOURNAL OF SOLID-STATE CIRCUITS
  • A. K. M. Mahfuzul Islam
  • ,
  • Jun Shiomi
  • ,
  • Tohru Ishihara
  • ,
  • Hidetoshi Onodera

50
11
開始ページ
2475
終了ページ
2490
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/JSSC.2015.2461598
出版者・発行元
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Variation in process, voltage and temperature is a major obstacle in achieving energy-efficient operation of LSI. This paper proposes an all-digital on-chip circuit to monitor leakage current variations of both of the nMOSFET and pMOSFET independently. As leakage current is highly sensitive to threshold voltage and temperature, the circuit is suitable for tracking process and temperature variation. The circuit uses reconfigurable inhomogeneity to obtain statistical properties from a single monitor instance. A compact reconfigurable inverter topology is proposed to implement the monitor circuit. The compact and digital nature of the inverter enables cell-based design, which will reduce design costs. Measurement results from a 65 nm test chip show the validity of the proposed circuit. For a 124 sample size for both of the nMOSFET and pMOSFET, the monitor area is 4500 mu m(2) and active power consumption is 76 nW at 0.8 V operation. The proposed technique enables area-efficient and low-cost implementation thus can be used in product chips for applications such as dynamic energy and thermal management, testing and post-silicon tuning.

リンク情報
DOI
https://doi.org/10.1109/JSSC.2015.2461598
DBLP
https://dblp.uni-trier.de/rec/journals/jssc/MahfuzulSIO15
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000364458200002&DestApp=WOS_CPL
URL
https://dblp.uni-trier.de/db/journals/jssc/jssc50.html#MahfuzulSIO15
ID情報
  • DOI : 10.1109/JSSC.2015.2461598
  • ISSN : 0018-9200
  • eISSN : 1558-173X
  • DBLP ID : journals/jssc/MahfuzulSIO15
  • Web of Science ID : WOS:000364458200002

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